The suite is composed of various checks such as: Property Drift, Label Drift, Text Embeddings Drift, etc...
Each check may contain conditions (which will result in pass ✓ /
fail ✖ / warning ! / error ⁈) as well as
other outputs such as plots or tables.
Suites, checks and conditions can all be modified. Read more about
custom suites.
| Status | Check | Condition | More Info |
|---|---|---|---|
✓ |
Property Drift | categorical drift score < 0.2 and numerical drift score < 0.2 | Passed for 11 columns out of 11 columns. Found column "Language" has the highest categorical drift score: 0 Found column "Average Word Length" has the highest numerical drift score: 0.04 |
✓ |
Label Drift | Label drift score < 0.15 | Label's drift score Cramer's V is 0 |
✓ |
Train Test Samples Mix | Percentage of test data samples that appear in train data is less or equal to 5% | Percent of test data samples that appear in train data: 3.49% |
Calculate drift between train dataset and test dataset per feature, using statistical measures. Read More...
| Status | Condition | More Info |
|---|---|---|
✓ |
categorical drift score < 0.2 and numerical drift score < 0.2 | Passed for 11 columns out of 11 columns. Found column "Language" has the highest categorical drift score: 0 Found column "Average Word Length" has the highest numerical drift score: 0.04 |